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An End-to-End Framework for Machine Learning-Based Network Intrusion Detection System
AB-TRAP is a five-step framework consisting of ( i) the generation of the attack dataset, (ii) the bonafide dataset, (iii) training of machine learning models, (iv) realization (implementation) of the models, and ( v) the performance evaluation of the realized model after deployment.
Gustavo De Carvalho Bertoli, Lourenço Alves Pereira Júnior, Osamu Saotome, Aldri L. Dos Santos, Filipe Alves Neto Verri, Cesar Augusto Cavalheiro Marcondes, Sidnei Barbieri, Moises S. Rodrigues, José M. Parente De Oliveira
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